Title :
Speed estimator for induction motor drives using an artificial neural network
Author :
Kulkarni, Amol S. ; El-Sharkawi, M.A.
Author_Institution :
Dept. of Electr. Eng., Washington Univ., Seattle, WA, USA
Abstract :
This paper describes the application of a three layered feedforward artificial neural network for estimating the speed of an induction motor based on delayed samples of stator currents and voltages. Good accuracy is obtained even at low speeds of operation. The technique is robust and independent of variations in rotor resistance
Keywords :
backpropagation; electric machine analysis computing; feedforward neural nets; induction motor drives; parameter estimation; rotors; stators; backpropagation; induction motor drives; robust technique; rotor resistance variations; speed estimator; stator currents; stator voltages; three layered feedforward neural net; Artificial neural networks; Equations; Induction motor drives; Induction motors; Low pass filters; Neural networks; Rotors; Stators; Torque control; Voltage;
Conference_Titel :
Electric Machines and Drives Conference Record, 1997. IEEE International
Conference_Location :
Milwaukee, WI
Print_ISBN :
0-7803-3946-0
DOI :
10.1109/IEMDC.1997.604189
